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Data Rater Jobs in Pennsylvania (NOW HIRING)

Data Scientist III

Philadelphia, PA ยท On-site

$110K - $115K/yr

Support our Data Sciences team within Health Content Operations and work with the Clinical ... Geographic differentials may apply in some locations to better reflect local market rates. We know ...

Strong mathematical and statistical foundation, including comfort with quantitative reasoning, distributions, rates, and variability as applied to real-world healthcare data * Expert-level SQL skills ...

Strong mathematical and statistical foundation, including comfort with quantitative reasoning, distributions, rates, and variability as applied to real-world healthcare data * Expert-level SQL skills ...

Data Verification Analyst

Pittsburgh, PA ยท On-site

$13.38 - $23.42/hr

The Data Verification Analyst is responsible for all bill review clerical functions, including mail ... Pay rates are established taking into account the following factors: federal, state, and local ...

Support Data Integrity Clerks with setup and maintenance issues for all new items that have been ... Able to compute rate, ratio, and percent, and to draw, and interpret bar graphs. Weis Markets is an ...

Support Data Integrity Clerks with setup and maintenance issues for all new items that have been ... Able to compute rate, ratio, and percent, and to draw, and interpret bar graphs. Weis Markets is an ...

... and excellent data dive deep skills. This job will require exceptional communication and ... The starting pay for this position is listed below including the base pay rate plus the highest ...

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Showing results 1-20

Data Rater information

See Pennsylvania salary details

$9

$25

$66

How much do data rater jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data rater in Pennsylvania is $25.57, according to ZipRecruiter salary data. Most workers in this role earn between $13.63 and $28.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Rater, and why are they important?

To thrive as a Data Rater, you need strong analytical abilities, attention to detail, and proficiency in following detailed guidelines, often requiring at least a high school diploma or equivalent. Familiarity with web-based evaluation tools, spreadsheets, and sometimes proprietary rating platforms is typically expected. Excellent time management, critical thinking, and effective written communication are valuable soft skills for excelling in this role. These skills ensure accurate and consistent data evaluation, which directly impacts the quality and effectiveness of machine learning models and search algorithms.

What are some common challenges Data Raters face, and how can they effectively manage them?

Data Raters often encounter challenges such as maintaining consistency in their evaluations, understanding complex guidelines, and managing repetitive tasks. To effectively handle these, it's important to regularly review guideline updates, seek clarification from team leads when unsure, and use productivity techniques to stay focused during long periods of rating. Collaborating with peers through forums or team meetings can also help share best practices and resolve ambiguities.

What is the difference between Data Rater vs Data Annotator?

AspectData RaterData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma; some roles may prefer familiarity with annotation tools
Work EnvironmentRemote or office-based; often involves reviewing data for qualityRemote or office-based; involves labeling or tagging data for machine learning
Employer & Industry UsageTech companies, data services, AI firmsAI and machine learning companies, data labeling services

Data Raters primarily review and assess data quality, ensuring accuracy and consistency, while Data Annotators focus on labeling data to train machine learning models. Both roles are essential in AI development, often sharing similar skills and work environments, but differ in their specific tasks and objectives.

What are Data Raters?

Data Raters are professionals who evaluate and provide feedback on data, such as search engine results, advertisements, and social media content, to help improve the accuracy and relevance of algorithms. They often work with large tech companies to assess whether content meets specific quality guidelines and user intent. Data Raters typically work remotely on a part-time or flexible schedule, and their work is crucial in training artificial intelligence systems to better understand human preferences.
What are the most commonly searched types of Data Rater jobs in Pennsylvania? The most popular types of Data Rater jobs in Pennsylvania are:
What are popular job titles related to Data Rater jobs in Pennsylvania? For Data Rater jobs in Pennsylvania, the most frequently searched job titles are:
Infographic showing various Data Rater job openings in Pennsylvania as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $53,181 per year, or $25.6 per hour.
Data Scientist III

Data Scientist III

RELX Group plc

Philadelphia, PA โ€ข On-site

$110K - $115K/yr

Full-time

Posted 23 hours ago


Job description

  • Elsevier, Inc.
  • Data Scientist III
  • 1600 John F. Kennedy Blvd., Suite 1800, Philadelphia, PA 19103

JOB DESCRIPTION:
  • Support our Data Sciences team within Health Content Operations and work with the Clinical Solutions and Education business units to provide research around data science and analytics that drives growth, revenue generation, outreach, and innovation. Focus on solving data science problems such as entity extraction, named-entity recognition, word-sense disambiguation, information retrieval, clustering, supervised and unsupervised learning using NLP, machine learning, deep learning, and statistical methods. Compare and recommend the use of latest GenAI technologies to solve these problems when the traditional approaches cannot solve them. Drive innovation by leveraging the latest research, literature, latest developments in GenAI, Responsible AI, GenAI Evaluation, RAG to Build POC's and solve complex problems. Collaborate with inter disciplinary teams across organization to build solutions. Conduct research on concept indexing, relationship extraction, and data extraction from clinical data and scientific literature. Analyze vast amounts of unstructured data and design, prototype, and operationalize machine learning and automation solutions for our health business. Provide data analytics support including designing automated approaches for ontology and graph development, ontology validation and terminology mappings. Analyze extracted information to drive such processes as automated and manual data cleansing, linking, and populating knowledge graphs. Coordinate with stakeholders as needed. Manage contractors as needed to get new entities reviewed for ingestion into Emmet. Ensure compliance with DPR documentation. Lead the Rising Tide program and Mentor interns. Coordinate with IT developers and (content) subject matters experts to translate information needs into data science solutions. Drive new developments and implement process changes and disruptive technologies in the organization. Perform other duties as needed.

REQUIREMENTS:
  • Master's degree (or foreign equivalent) in Data Science, Data Analytics, Enterprise Intelligence, or a related field required.
  • 2 years of experience in job offered or related occupations required.
  • Also required is: 2 years of experience: with doctor, nurse, and patient information needs to design Data Science, Machine Learning (ML) and Natural Language Processing (NLP) solutions to improve patient outcomes; working with deep learning models, neural networks, and state-of-the-art transformer language models, putting data science into production; utilizing nix systems, open-source software, Jupyter notebook hubs, cloud computing, MATLAB for data modeling, machine learning and visualization purposes, and Java, Python or R; and with utilization of database, data manipulation, and visualization tools, such as MySQL, Excel, and Tableau.
  • Employee reports to Elsevier, Inc. office in Philadelphia, PA but may telecommute from any location within the U.S.
  • Experience can be concurrent.

SALARY RANGE FOR REQ# R111460 :
  • $110,487.22 to $115,600/year + standard company benefits
  • This salary range is specifically for REQ#R111460Salary range listed below is general and covers all similar positions in the area and should not be considered for this specific position.

HOW TO APPLY:
  • Interested candidates should send email to ResumesICT@RELX.com and reference job code: R111460

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#ICT
U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.
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